ABSTRACT
When selecting technologies for your data architecture, it is important to understand common use cases enabled by the technology. This research examines six use cases enabled by data validation and the architecture capabilities used to support the use case. To this end, we examine the validation of ingestion and transformations, the data migration, as well as cloud update use cases. The use cases for production monitoring, completeness of data sets, the ability to compare BI tools’ values, as well as data DevOps are also evaluated.